Jung Nam Kim

According to our database, Jung Nam Kim authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Voltage-Summation-Based Compute-in-Memory SRAM Macro With Input-Bit and Synaptic-Bit Slicing.

Jung Nam Kim, Yong Woo Kim, Won Joo Lee, Minsuk Koo, Yoon Kim

IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2026

ES-SNN: e-Flash Memory-Based Stochastic Spiking Neural Networks for Edge Inference.

Hyeyeon Jeon, Jung Nam Kim, Yoon Kim, Minsuk Koo

IEEE Access, 2026

2025

Voltage-Summation-Based Compute-in-Memory Technology with Capacitive Synaptic Devices.

Jung Nam Kim, Yong Woo Kim, Boram Kim, Doo-Hyun Kim, Gil Sung Lee, Dong-hyuk Chae, Minkyu Je, Minsuk Koo, Yoon Kim

Adv. Intell. Syst., 2025

2024

Design of a 180 nm CMOS Neuron Circuit with Soft-Reset and Underflow Allowing for Loss-Less Hardware Spiking Neural Networks.

Jaesung Kim, Jung Nam Kim, Yoon Kim, Sungmin Hwang, Minsuk Koo

Adv. Intell. Syst., January, 2024

Current-Voltage Modeling of DRAM Cell Transistor Using Genetic Algorithm and Deep Learning.

Jun Hui Park, Jung Nam Kim, Seonhaeng Lee, Gang-Jun Kim, Namhyun Lee, Rock-Hyun Baek, Dae Hwan Kim, Changhyun Kim, Myounggon Kang, Yoon Kim

IEEE Access, 2024

2023

Short- and Long-Term Memory Based on a Floating-Gate IGZO Synaptic Transistor.

Dongyeon Kang, Wonjung Kim, Jun Tae Jang, Changwook Kim, Jung Nam Kim, Sung-Jin Choi, Jong-Ho Bae, Dong Myong Kim, Yoon Kim, Dae Hwan Kim

IEEE Access, 2023